Bridging the gaps in pediatric complex healthcare: the case for home nursing care among children with medical complexity.

BACKGROUND: Children with medical complexity (CMC) comprise < 1% of the pediatric population, but account for nearly one-third of healthcare expenditures. Further, while CMC account for up to 80% of pediatric inpatient hospital costs, only 2% of Medicaid spending is attributed to home healthcare. As a result, the current health system heavily relies on family caregivers to fill existing care gaps. This study aimed to: (1) examine factors associated with hospital admissions among CMC and (2) contextualize the potential for home nursing care to improve outcomes among CMC and their families in South Carolina (SC). METHODS: This mixed-methods study was conducted among CMC, their family caregivers, and physicians in SC. Electronic health records data from a primary care clinic within a large health system (7/1/2022-6/30/2023) was analyzed. Logistic regression examined factors associated with hospitalizations among CMC. In-depth interviews (N = 15) were conducted among physicians and caregivers of CMC statewide. Patient-level quantitative data is triangulated with conceptual findings from interviews. RESULTS: Overall, 39.87% of CMC experienced ≥ 1 hospitalization in the past 12 months. CMC with higher hospitalization risk were dependent on respiratory or neurological/neuromuscular medical devices, not non-Hispanic White, and demonstrated higher healthcare utilization. Interview findings contextualized efforts to reduce hospitalizations, and suggested adaptations related to capacity and willingness to provide complex care for CMC and their families. CONCLUSIONS: Findings may inform multi-level solutions for accessible, high-quality home nursing care among CMC and their families. Providers may learn from caregivers' insight to emphasize family-centered care practices, acknowledging time and financial constraints while optimizing the quality of medical care provided in the home.

Examining Patient- and Community-Level Factors Associated with Pediatric Mental Healthcare Access Within a Patient Navigation Program.

In 2021, national leaders in the United States declared a "national youth mental health crisis." Still, only 1-in-4 children receive adequate mental healthcare access. Patient Navigator Programs (PNPs) can improve children's referral-to-connection to mental health services. We examined patient- and community-level factors associated with pediatric mental healthcare access. Pediatric Support Services (PSS) is a PNP that triages mental and behavioral health referrals within a large health system in a southeastern state. This study analyzes PSS data from September 2017-March 2023 and Child Opportunity Index 2.0 state-normed zip-code level data to assess social drivers of health estimates. Structural equation modeling was conducted between patient- and community-level factors and connection to mental health services. Overall, 62.7% of children connected to mental health services since PSS' inception. Regardless of SDOH, as children get older, they are more likely to connect with mental health services (ß = .053, SE = .010, p < .001). Children with greater number of referral needs are more likely to connect with mental health services (ß = .034, SE = .011, p = .002). Further, children who live in communities with higher opportunity levels are more likely to connect with mental health services (ß = .016, SE = .008, p = .040), suggesting that children who live in low-income communities experience more barriers to mental healthcare. Social drivers may inform referral practices and tiered navigation support for optimal mental healthcare access among children. Further research should demonstrate the effectiveness of PNPs integrated within healthcare and community-based settings.

Identifying Risk Factors Associated with Repeated Referrals Within a Pediatric Navigation Program.

Approximately 1-in-5 children have a diagnosed mental, behavioral, and/or developmental disorder or delay by age 8 in the United States. Children with such conditions often require complex, complicated diagnostic and specialty care, making them susceptible to repeated referrals and ongoing unmet healthcare needs. Patient navigation programs (PNPs) are designed to integrate care from primary care providers to community-based services, using trained navigators to help patients and their families manage referrals and connect with referred services. This study examines factors associated with repeated referrals to an active PNP to inform ongoing referral patterns and adaptations to standard navigation support within a large healthcare system in South Carolina (SC). Data is sourced from the inception of the PNP in 2017 through 2022, including 15,702 referrals. Overall, 71.07% had no repeated referrals. Children who are older, diagnosed with attention deficit disorder(s), behavioral concerns, depression, multiple referral needs, and insured by Medicaid were found to be most susceptible to repeated referrals. Conversely, children who are non-Hispanic Black, were referred at a well-child visit, and are primarily insured by private insurance or Tricare were least likely to have repeated referrals. Children who are insured by Medicaid are more likely to be younger, identify as non-Hispanic Black, Hispanic, or another race/ethnicity, and have multiple needs at time of initial referral, identifying a potentially compounded risk for those who hold multiple risk factors to experiencing repeated referrals. Findings may inform adaptations to this PNP model to adjust navigator protocol for at-risk populations and equitably optimize referral-to-service connection.

School-Based Mental Health Service Utilization Through the COVID-19 Pandemic and Beyond.

BACKGROUND: We examined trends in mental health service utilization before, during, and in the immediate return to in-person learning throughout the COVID-19 pandemic. METHODS: Retrospective chart review was assessed for changes in odds of any visit being a mental health encounter from five school-based health centers from the 2018-2019 to the 2021-2022 school years. Data are limited to the in-person school year from mid-August to early June. RESULTS: Data were assessed from 1239 students seen through 2256 visits over the 4 school years (Mage = 12.93). The odds of any visit being related to a mental health encounter increased each school year, with the 2020 to 2021 and 2021 to 2022 school years having significant increases in odds (both compared to the first and to the antecedent school year). In addition, during the 2019 to 2020 and 2020 to 2021 school years, the odds of a repeated mental health encounter significantly increased from year to year. CONCLUSIONS: Findings indicate a steadily increasing number of mental health service utilization needs among adolescent students that was significantly exponentiated throughout the COVID-19 pandemic.

"It's a proactive intervention instead of a reactive one": measuring facilitators and barriers regarding readiness to implement a treatment program for infants with neonatal opioid withdrawal syndrome.

BACKGROUND: Managing Abstinence in Newborns (MAiN) is an evidence-based, cost-saving approach to caring for infants at risk of developing neonatal opioid withdrawal syndrome (NOWS). MAiN provides medication management in combination with education and is being implemented in hospitals across South Carolina (SC). This expansion of MAiN throughout the state includes educational training for providers on managing NOWS symptomology and evaluation support for data collection and analysis. This evaluation assessed the readiness of hospitals to implement MAiN by identifying potential barriers and facilitators to early program adoption. METHODS: We used the Consolidated Framework for Implementation Framework (CFIR) to guide the evaluation. As part of the ongoing evaluation of MAiN implementation, brief, structured interviews were conducted with healthcare providers (n = 82) at seven hospitals between 2019 and 2022 to learn more about perceived barriers and facilitators to implementation readiness. Two coders independently reviewed all transcripts and used deductive thematic analysis to code qualitative data using Atlas.ti Web using the established CFIR codebook. RESULTS: We identified barriers and facilitators to implementing MAiN in all five CFIR domains. Providers identified MAiN as an evidence-based, patient-centered model with the flexibility to adapt to patients' complex needs. Specific champions, external support, alignment with providers' personal motivation, and an adaptable implementation climate were identified as facilitators for implementation readiness. Barriers included a lack of consistent communication among hospital providers, minimal community resources to support patients and families after discharge, and a lack of provider buy-in early in implementation. CONCLUSIONS: Key barriers and facilitators of MAiN implementation readiness were identified at seven participating hospitals throughout SC. Communication, staff and hospital culture and climate, and internal and external resource were all reported as essential to implementation. These findings could inform the MAiN program expansion in hospitals across SC.

Food Insecurity, the Food Environment, and COVID-19 in Rural South Carolina.

In this study, we explored the relationship between the food environment and food security among rural adults during the COVID-19 pandemic. Researchers, with assistance from community partners, conducted a cross-sectional survey assessing the impact of COVID-19 on food access, food security, and physical activity in 9 rural South Carolina (SC) counties. This survey was administered to a purposive sample (N = 587) from August 2020 to March 2021. The dependent variable was a binary indicator of food insecurity (past 3 months), in accordance with the USDA Household Food Security Survey Module. Independent variables were sociodemographic characteristics, food environment factors (eg, shopping at grocery stores, partial markets, and farmers' markets), and shopping behaviors during the pandemic. Overall, 31% of respondents were food insecure. Food security status differed by income and household composition. Results indicate that the odds of food insecurity were higher for respondents who shopped frequently at partial markets (adjusted odds ratio [AOR] = 1.61, 95% confidence interval [CI]: 1.01-2.56) and shopped more for food before the pandemic than during the pandemic (AOR = 1.68, 95% CI: 1.07-2.64). Findings underscore the importance of examining the relationship between the food environment and food insecurity during COVID-19 in rural settings.

Food Insecurity and Stress Among Rural Residents in South Carolina: The Moderating Influences of Household Characteristics, Neighborhood Social Environment and Food Environment.

Food insecurity is linked with poor physical and mental health outcomes, including anxiety, depression and stress. Rural residents in particular face unique challenges obtaining healthy food; the COVID-19 pandemic exacerbated the relationship between food insecurity and mental health outcomes. This study examines the relationship between food insecurity and stress, and the moderating influence of household characteristics, neighborhood social environment and food environment on this relationship, using a sample of 630 rural South Carolina (SC) residents during COVID-19. Two measures of stress were used in this study: current levels of stress and changes in stress since COVID-19. Results showed a gradient pattern between food insecurity and stress: rural residents with high food insecurity were 6.1 times more likely and those with moderate food insecurity were 3.4 times more likely to report higher level of general stress than those with low food insecurity; rural residents with high food insecurity were 3.3 times more likely and those with moderate food insecurity were 2.0 times more likely to report greater increase in stress after COVID-19 than those with low food insecurity. Neighborhood social environment and food environment provided a buffering effect on the relationship between food insecurity and stress. A stronger social environment after COVID-19 and higher levels of easiness in food access mitigated the negative impacts of food insecurity on stress. Efforts to ameliorate food insecurity should address these broader contextual variables, involving community-level factors.

The Association between Food Insecurity and Making Hunger-Coping Trade-Offs during the COVID-19 Pandemic: The Role of Sources of Food and Easiness in Food Access.

Many individuals make financial, health and food related trade-offs to cope with the challenges of food insecurity and to meet their household needs for healthy, affordable food. A survey (n = 652) was conducted in nine rural counties in South Carolina, USA, during the COVID-19 pandemic from August 2020 to July 2021. We examine if level of food insecurity predicts hunger-coping trade-offs, and whether this relationship is moderated by easiness in food access and dependence on different food source types. Nearly one-third of the respondents experienced food insecurity. Making trade-offs between paying for food and other household expenses was common among the rural residents as on average they made nearly one type of trade-off in the past three months. The number of trade-offs was the highest among highly food insecure respondents (mean = 2.64), followed by moderately food insecure respondents (mean = 1.66); low food insecure respondents had the lowest number of trade-offs (mean = 0.39). The moderating effects of easiness in food access and dependence on food sources varied by level of food insecurity. The results show that individuals at different levels of food insecurity use different strategies to fulfill their food needs and social programs are more often utilized than personal food sources. We conclude with implications for addressing food insecurity in order to reduce the possibility of making trade-offs.